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FOCS
2005
IEEE
15 years 6 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys
DAGSTUHL
2007
15 years 2 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic Optimization
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys
108
Voted
NETWORKS
2006
15 years 16 days ago
Approximation algorithms for channel allocation problems in broadcast networks
We study two packing problems that arise in the area of dissemination-based information systems; a second theme is the study of distributed approximation algorithms. The problems c...
Rajiv Gandhi, Samir Khuller, Aravind Srinivasan, N...
132
Voted
COCOON
2007
Springer
15 years 6 months ago
Distributed Approximation Algorithms for Weighted Problems in Minor-Closed Families
We give efficient distributed approximation algorithms for weighted versions of the maximum matching problem and the minimum dominating set problem for graphs from minor-closed fam...
Andrzej Czygrinow, Michal Hanckowiak
86
Voted
ORL
2007
47views more  ORL 2007»
15 years 3 days ago
A simpler and better derandomization of an approximation algorithm for single source rent-or-buy
We present a very simple way of derandomizing the algorithm proposed by Gupta, Kumar and Roughgarden for Single Source Rent-or-Buy by using the method of conditional expectation. ...
David P. Williamson, Anke van Zuylen